Browsing by Author "Rajpoot, Nasir"

Now showing items 1-11 of 11

    • A fast method for approximate registration of whole-slide images of serial sections using local curvature 

      Trahearn, Nicholas; Epstein, David; Snead, David; Cree, Ian; Rajpoot, Nasir ( SPIE , 2014 , Conference Paper)
      We present a method for fast, approximate registration of whole-slide images (WSIs) of histopathology serial sections. Popular histopathology slide registration methods in the existing literature tend towards intensity-based ...

    • Action Recognition in Spectator Crowds 

      Mahmood, Arif; Rajpoot, Nasir ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)
      Action Recognition in Spectator Crowds During the Football Association competitions held in 2013 in UK, 2,273 people were arrested due to the events of lawlessness and disorder, according to the statistics collected by ...

    • Conceptual data sampling for breast cancer histology image classification 

      Rezk, Eman; Awan, Zainab; Islam, Fahad; Jaoua, Ali; Al Maadeed, Somaya; ... more authors ( Elsevier Ltd , 2017 , Article)
      Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected ...

    • Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer 

      Ehteshami Bejnordi, Babak; Veta, Mitko; Johannes van Diest, Paul; van Ginneken, Bram; Karssemeijer, Nico; ... more authors ( American Medical Association , 2017 , Article)
      IMPORTANCE: Application of deep learning algorithms to whole-slide pathology imagescan potentially improve diagnostic accuracy and efficiency. OBJECTIVE: Assess the performance of automated deep learning algorithms at ...

    • Functional connectivity alterations in epilepsy from resting-state functional MRI 

      Rajpoot, Kashif; Riaz, Atif; Majeed, Waqas; Rajpoot, Nasir ( Public Library of Science , 2015 , Article)
      The study of functional brain connectivity alterations induced by neurological disorders and their analysis from resting state functional Magnetic Resonance Imaging (rfMRI) is generally considered to be a challenging task. ...

    • Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images 

      Awan, Ruqayya; Sirinukunwattana, Korsuk; Epstein, David; Jefferyes, Samuel; Qidwai, Uvais; ... more authors ( Nature Publishing Group , 2017 , Article)
      Determining the grade of colon cancer from tissue slides is a routine part of the pathological analysis. In the case of colorectal adenocarcinoma (CRA), grading is partly determined by morphology and degree of formation ...

    • Handcrafted features with convolutional neural networks for detection of tumor cells in histology images 

      Kashif, Muhammad Nasim; Raza, Shan E. Ahmed; Sirinukunwattana, Korsuk; Arif, Muhammmad; Rajpoot, Nasir ( IEEE Computer Society , 2016 , Conference Paper)
      Detection of tumor nuclei in cancer histology images requires sophisticated techniques due to the irregular shape, size and chromatin texture of the tumor nuclei. Some very recently proposed methods employ deep convolutional ...

    • How divided is a cell? Eigenphase nuclei for classification of mitotic phase in cancer histology images 

      Awan, Ruqayya; Aloraidi, Nada; Qidwai, Uvais; Rajpoot, Nasir ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Detection of mitotic cells in histology images is an important but challenging process due to the resemblance of mitotic cells with other non-mitotic cells and also due to the different appearance of mitotic cells undergoing ...

    • Multi-person head segmentation in low resolution crowd scenes using convolutional encoder-decoder framework 

      Shaban, Muhammad; Mahmood, Arif; Al-maadeed, Somaya; Rajpoot, Nasir ( Springer Verlag , 2019 , Conference Paper)
      Person head detection in crowded scenes becomes a challenging task if facial features are absent, resolution is low and viewing angles are unfavorable. Motion and out-of-focus blur along with headwear of varying shapes ...

    • Stain deconvolution of histology images via independent component analysis in the wavelet domain 

      Alsubaie, Najah; Raza, Shan E. Ahmed; Rajpoot, Nasir ( IEEE Computer Society , 2016 , Conference Paper)
      With the ubiquity of digital slide scanners, histology image analysis is rapidly emerging as an active area of research. Several histology image analysis algorithms such as those for mitotic cell detection, nuclei segmentation ...

    • Using geodesic space density gradients for network community detection 

      Mahmood, Arif; Small, Michael; Al-Maadeed, Somaya Ali; Rajpoot, Nasir ( IEEE Computer Society , 2017 , Article)
      Many real world complex systems naturally map to network data structures instead of geometric spaces because the only available information is the presence or absence of a link between two entities in the system. To enable ...